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GPT-5.5

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Re: GPT-5.5

#261

Post by skirano »

kingstnap wrote: post #71
astlouis44 wrote: post #9

A playable 3D dungeon arena prototype built with Codex and GPT models. Codex handled the game architecture, TypeScript/Three.js implementation, combat systems, enemy encounters, HUD feedback, and GPT‑generated environment textures. Character models, character textures, and animations were created with third-party asset-generation tools The game that this prompt generated looks pretty decent visually. A big part of th…

The meshes look interesting, but the gameplay is very basic. The tank one seems more sophisticated with the flying ships and whatnot. What's strange is that this Pietro Schirano dude seems to write incredibly cargo cult prompts. Game created by Pietro Schirano, CEO of MagicPath Prompt: Create a 3D game using three.js. It should be a UFO shooter where I control a tank and shoot down UFOs flying overhead. - Think step…

Pietro here, I just published a video of it: https://x.com/skirano/status/2047403025094905964?s=20

Re: GPT-5.5

#262

Post by arjie »

pantulis wrote: post #231
arjie wrote: post #135

Earlier quoted context omitted.

Get the actual prompt and have Claude Code / Codex try it out via curl / python requests. The full prompt will yield debugging information. You have to set a few parameters to make sure you get the full gpt-5 performance. e.g. if your reasoning budget too low, you get gpt-4 grade performance. IMHO you should just write your own harness so you have full visibility into it, but if you're just using vanilla OpenClaw you…

> IMHO you should just write your own harness Can you point to some online resources to achieve this? I'm not very sure where I'd begin with.

Ah, I just started with the basic idea. They're super trivial. You want a loop, but the loop can't be infinite so you need to tell the agent to tell you when to stop and to backstop it you add a max_turns. Then to start with just pick a single API, easiest is OpenAI Responses API with OpenAI function calling syntax https://developers.openai.com/api/docs/guides/function-calli...

You will naturally find the need to add more tools. You'll start with read_file (and then one day you'll read large file and blow context and you'll modify this tool), update_file (can just be an explicit sed to start with), and write_file (fopen . write), and shell.

It's not hard, but if you want a quick start go download the source code for pi (it's minimal) and tell an existing agent harness to make a minimal copy you can read. As you build more with the agent you'll suddenly realize it's just normal engineering: you'll want to abstract completions APIs so you'll move that to a separate module, you'll want to support arbitrary runtime tools so you'll reimplement skills, you'll want to support subagents because you don't want to blow your main context, you'll see that prefixes are more useful than using a moving window because of caching, etc.

With a modern Claude Code or Codex harness you can have it walk through from the beginning onwards and you'll encounter all the problems yourself and see why harnesses have what they do. It's super easy to learn by doing because you have the best tool to show you if you're one of those who finds code easier to read that text about code.

Re: GPT-5.5

#263

Post by tonyarkles »

pantulis wrote: post #231
arjie wrote: post #135

Earlier quoted context omitted.

Get the actual prompt and have Claude Code / Codex try it out via curl / python requests. The full prompt will yield debugging information. You have to set a few parameters to make sure you get the full gpt-5 performance. e.g. if your reasoning budget too low, you get gpt-4 grade performance. IMHO you should just write your own harness so you have full visibility into it, but if you're just using vanilla OpenClaw you…

> IMHO you should just write your own harness Can you point to some online resources to achieve this? I'm not very sure where I'd begin with.

[dead]

Re: GPT-5.5

#264

Post by mikepurvis »

butlike wrote: post #260
endymi0n wrote: post #103

Earlier quoted context omitted.

Did you guys do anything about GPT‘s motivation? I tried to use GPT-5.4 API (at xhigh) for my OpenClaw after the Anthropic Oauthgate, but I just couldn‘t drag it to do its job. I had the most hilarious dialogues along the lines of „You stopped, X would have been next.“ - „Yeah, I‘m sorry, I failed. I should have done X next.“ - „Well, how about you just do it?“ - „Yep, I really should have done it now.“ - “Do X, righ…

This brings up an interesting philosophical point: say we get to AGI... who's to say it won't just be a super smart underachiever-type? "Hey AGI, how's that cure for cancer coming?" "Oh it's done just gotta...formalize it you know. Big rollout and all that..." I would find it divinely funny if we "got there" with AGI and it was just a complete slacker. Hard to justify leaving it on, but too important to turn it off.

Would definitely watch that movie.

Re: GPT-5.5

#265

Post by theLiminator »

cynicalpeace wrote: post #147
aerhardt wrote: post #128

Earlier quoted context omitted.

> "information technology" generally didn't increase productivity Do you think it'd be viable to run most businesses on pen and paper? I'll give you email and being able to consume informational websites - rest is pen and paper.

Productivity metrics were better when businesses were run on just pen and paper. Of course, there could be many confounding factors, but there are also many reasons why this could be so. Just a few hypotheses: - Pen and paper become a limiting factor on bureaucratic BS - Pen and paper are less distracting - Pen and paper require more creative output from the user, as opposed to screens which are mostly consumptive et…

> Productivity metrics were better when businesses were run on just pen and paper

What metrics are these?

Re: GPT-5.5

#266

Post by 4m1rk »

butlike wrote: post #260
endymi0n wrote: post #103

Earlier quoted context omitted.

Did you guys do anything about GPT‘s motivation? I tried to use GPT-5.4 API (at xhigh) for my OpenClaw after the Anthropic Oauthgate, but I just couldn‘t drag it to do its job. I had the most hilarious dialogues along the lines of „You stopped, X would have been next.“ - „Yeah, I‘m sorry, I failed. I should have done X next.“ - „Well, how about you just do it?“ - „Yep, I really should have done it now.“ - “Do X, righ…

This brings up an interesting philosophical point: say we get to AGI... who's to say it won't just be a super smart underachiever-type? "Hey AGI, how's that cure for cancer coming?" "Oh it's done just gotta...formalize it you know. Big rollout and all that..." I would find it divinely funny if we "got there" with AGI and it was just a complete slacker. Hard to justify leaving it on, but too important to turn it off.

It probably would, to save energy

Re: GPT-5.5

#268

Post by [deleted] »

deflator wrote: post #232
simonw wrote: post #195

This doesn't have API access yet, but OpenAI seem to approve of the Codex API backdoor used by OpenClaw these days... https://twitter.com/steipete/status/2046775849769148838 and https://twitter.com/romainhuet/status/2038699202834841962 And that backdoor API has GPT-5.5. So here's a pelican: https://simonwillison.net/2026/Apr/23/gpt-5-5/#and-some-peli... I used this new plugin for LLM: https://github.com/simonw/llm-op…

Hmm. Any idea why it's so much worse than the other ones you have posted lately? Even the open weight local models were much better, like the Qwen one you posted yesterday.

[deleted]

Re: GPT-5.5

#269

Post by ahoka »

kingstnap wrote: post #71
astlouis44 wrote: post #9

A playable 3D dungeon arena prototype built with Codex and GPT models. Codex handled the game architecture, TypeScript/Three.js implementation, combat systems, enemy encounters, HUD feedback, and GPT‑generated environment textures. Character models, character textures, and animations were created with third-party asset-generation tools The game that this prompt generated looks pretty decent visually. A big part of th…

The meshes look interesting, but the gameplay is very basic. The tank one seems more sophisticated with the flying ships and whatnot. What's strange is that this Pietro Schirano dude seems to write incredibly cargo cult prompts. Game created by Pietro Schirano, CEO of MagicPath Prompt: Create a 3D game using three.js. It should be a UFO shooter where I control a tank and shoot down UFOs flying overhead. - Think step…

"take a deep breath"

OMFG

Re: GPT-5.5

#270

Post by torginus »

kingstnap wrote: post #71
astlouis44 wrote: post #9

A playable 3D dungeon arena prototype built with Codex and GPT models. Codex handled the game architecture, TypeScript/Three.js implementation, combat systems, enemy encounters, HUD feedback, and GPT‑generated environment textures. Character models, character textures, and animations were created with third-party asset-generation tools The game that this prompt generated looks pretty decent visually. A big part of th…

The meshes look interesting, but the gameplay is very basic. The tank one seems more sophisticated with the flying ships and whatnot. What's strange is that this Pietro Schirano dude seems to write incredibly cargo cult prompts. Game created by Pietro Schirano, CEO of MagicPath Prompt: Create a 3D game using three.js. It should be a UFO shooter where I control a tank and shoot down UFOs flying overhead. - Think step…

It's weird how people pep talk the AI - if my Jira tickets looked like this, I would throw a fit.

I guess these people think they have special prompt engineering skills, and doing it like this is better than giving the AI a dry list of requirements (fwiw, they might be even right)

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